Predict Performance Using MA Forecasting in Google Sheets
Identify use cases for forecasting trends with moving averages (MA).
Build two MA Forecasting models in a spreadsheet.
Visualize the forecast output and test the MA models for accuracy.
There are many times when having a crystal ball might be useful and it’s natural to leverage trusted predictions of future outcomes to prepare for the future and make strategic decisions. Predicting Performance is especially key to decision-making and risk management. In this project, you will build prediction skills with Moving Averages or MA. MA is classic method of time series decomposition most often used with financial predictions. As you work with MA you will also learn how to evaluate and choose the highest performing model to make the most accurate predictions. You will build your skill as we work side-by-side in the free-to-use software Google Sheets. By the end of this project, you will understand use cases for conducting MA trend forecasts in your workplace, be able to conduct MA forecasting in any spreadsheet software, and be able to confidently select the best performing forecast model to enable decision-making. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.
Skills you will develop
Learn step-by-step
In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:
Visualize the forecast output and test the MA models for accuracy.
Identify use cases for MA forecasting and import data into Google Sheets.
Build MA Forecasting models in Google Sheets.
Create and visualize MA output and test the models for accuracy.
Evaluate the test statistics and choose the winning model.
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